Transcript TRACCS: TRansport data collection supporting the quantitative

TRACCS: TRansport data collection
supporting the quantitative Analysis
of measures relating to transport
and Climate Change
European Commission (DG Clima) project
Jan. 2012 – Dec. 2013
May 2012
Team and Key Responsibilities
Emisia (GR)
Co-ordination
Road and non-motorized transport
INFRAS (CH)
Aviation and rail
CH, AT, DE and HBEFA data for road
IVL (SE)
Waterborne transport
Data for Sweden/Nordic countries
2
Key Project Objectives
Transport Data Collection
(stock, activity, economic)
Produce multi-dimensional consistent data
matrices
Produce relevant indicators to summarize
results
Why?
GHG, air pollutant emission modeling
Environmental policy, impact on climate change
3
Project Structure
Task 1: Road passenger transport
Task 2: Road freight transport
Task 3: Airborne transport
Task 4: Rail transport
Task 5: Waterborne transport
Task 6: Non-motorized transport
Task 7: Peer review of data
4
General Approach for Tasks 1-6
A. Data collection
•
•
Identification of sources and contacts
Similar projects, existing models, new data
B. Data streamlining
•
•
QA/QC procedures
Visual check, gap filling, error correction,
reconciliation module, time series analysis
C. Data presentation
•
•
5
Description of final dataset
Consistent matrices, relevant indicators
Data Collection Specifics
Temporal
Annual time-series, from 2005-2010
Existing data for earlier years
Pre-1990 not to be considered
Spatial
EU27
As much as possible candidates (Croatia,
FYROM, Iceland, Turkey, Norway, Switzerland)
6
Description of road transport dataset
Vehicle Classification according to main criteria
Vehicle Category
Vehicle type
Mopeds/Motorcycles (L) 2-stroke, 4-stroke
Gasoline
Passenger Cars (M1)
Market Segment (small,
compact, medium, large,
luxury, MPV, SUV, or any
other similar segmentation)
Petrol, Diesel, LPG, CNG,
Flexifuel (E85), Gasoline
Hybrid
Buses (M2, M3)
Urban, Coach
Diesel, LPG,
CNG/Biogas, B30
Light Commercial
Vehicles (N1)
N1/I
N1/II
N1/III
Petrol, Diesel, LPG, CNG,
Flexifuel (E85), Gasoline
Hybrid
Heavy Goods Vehicles
(N2, N3)
GVW types as per
COPERT/HBEFA
(Rigid from ≤7.5t to >32t,
Articulated from 14-20t to
50-60t)
Petrol, Diesel
Additionally:
7
Propulsion
 Age distribution of vehicles.
 Ownership of passenger cars (corporate, self-employed professional, private).
Description of road transport dataset
Data Required
Data type
8
Short Explanation
Number of vehicles
Number of operating vehicles in stock, classified by age
New registrations /
De-registrations
Annual new registrations / Vehicles exiting the stock,
per age
Second hand registrations
Registrations of second-hand vehicles, according to age
Activity data
Mileage/passenger-km/vehicle-km/tonne-km (per age)
Price and VAT
Purchase cost per vehicle type
Registration and
Ownership taxes
Per vehicle type
Insurance, Operation,
Maintenance, and Toll
costs
Per vehicle type
Labour cost
For drivers of commercial vehicles
What we expect from you
Your close collaboration
Your contribution with available national data
to the best possible degree (.mdb, .xls, etc.)
National reports and other relevant sources
Correspond to our invitation letter
(by June 30)
9
Thank you for your attention!
For more information on the
project, please visit
http://traccs.emisia.com
10